Paper Accepted @SLE23

The paper titled Adaptive Structural Operational Semantics by Gwendal Jouneaux (Univ. Rennes, Inria, IRISA); Damian Frolich (University of Amsterdam); Olivier Barais (Univ. Rennes, Inria, CNRS, IRISA); Benoit Combemale (Univ. Rennes, Inria, IRISA); Gurvan Le Guernic (DGA Maîtrise de l’Information, Univ. Rennes, Inria, IRISA); Gunter Mussbacher (McGill University, Inria); L. Thomas van Binsbergen (University of Amsterdam) is accepted at the 16th edition of the Software Language Engineering (SLE) conference.

Abstract

Software systems evolve more and more in complex and changing environments, often requiring runtime adaptation to best deliver their services. When self-adaptation is the main concern of the system, a manual implementation of the underlying feedback loop and trade-off analysis may be desirable. However, the required expertise and substantial development effort make such implementations prohibitively difficult when it is only a secondary concern for the given domain. In this paper, we present ASOS, a metalanguage abstracting the runtime adaptation concern of a given domain in the behavioral semantics of a domain-specific language (DSL), freeing the language user from implementing it from scratch for each system in the domain. We demonstrate our approach on RobLANG, a procedural DSL for robotics, where we abstract a recurrent energy-saving behavior depending on the context. We provide formal semantics for ASOS and pave the way for checking properties such as determinism, completeness, and termination of the resulting self-adaptable language. We provide first results on the performance of our approach compared to a manual implementation of this self- adaptable behavior. We demonstrate, for RobLANG, that our approach provides suitable abstractions for specifying sound adaptive operational semantics while being more efficient.